HI-CMAIM: Hybrid Intelligence-Based Multi-Source Unstructured Chinese Map Annotation Interpretation Model

HI-CMAIM: Hybrid Intelligence-Based Multi-Source Unstructured Chinese Map Annotation Interpretation Model

Map annotation interpretation is crucial for geographic information extraction and intelligent map analysis. This study addresses the challenges associated with interpreting Chinese map annotations, specifically visual complexity and data scarcity issues, by proposing a hybrid intelligence-based mul...

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Bibliographic Details
Main Authors: Jiaxin Ren, Wanzeng Liu, Jun Chen, Xiuli Zhu, Ran Li, Tingting Zhao, Jiadong Zhang, Yuan Tao, Shunxi Yin, Xi Zhai, Yunlu Peng, Xinpeng Wang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
intelligentized surveying and mapping
hybrid intelligence
unstructured maps
Chinese recognition
annotation interpretation
expert knowledge
Online Access:https://www.mdpi.com/2072-4292/17/2/204
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